Evidence map›Paper›PMID 39390025›Full record

ArticleScientific reports2024

New connections of medication use and polypharmacy with the gut microbiota composition and functional potential in a large population.

Anna Larsson, Ulrika Ericson, Daniel Jönsson, Mariam Miari, Paschalis Athanasiadis, Gabriel Baldanzi, Louise Brunkwall, Sophie Hellstrand, Björn Klinge, Olle Melander and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
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  5. Review
  6. Article
  7. Review
  8. [Aging-Associated Oral Microbiota Dysbiosis and Hypofunction: Their Role in Alzheimer's Disease Pathogenesis].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Review
  9. Article
  10. Article
  11. The Japanese gut microbiome: ecology, uniqueness, and impact on health and disease.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2026
    Review
  12. Article
  13. Review
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Anna LarssonDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Ulrika EricsonDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Daniel JönssonDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Mariam MiariDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Paschalis AthanasiadisDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Gabriel BaldanziMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Louise BrunkwallDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Sophie HellstrandDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Björn KlingeDepartment of Periodontology, Faculty of Odontology, Malmö University, Malmö, Sweden.
Olle MelanderDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Peter M NilssonDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Tove FallMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Marlena MaziarzDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Marju Orho-MelanderDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden. marju.orho-melander@med.lu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication can affect the gut microbiota composition and function. The aim of this study was to investigate connections between use of common non-antibiotic medicines and the gut microbiota composition and function in a large Swedish cohort (N = 2223). Use of 67 medications and polypharmacy (≥ 5 medications), based on self-reported and prescription registry data, were associated with the relative abundance of 881 gut metagenomic species (> 5% prevalence) and 103 gut metabolic modules (GMMs). Altogether, 97 associations of 26 medications with 40 species and of four medications with five GMMs were observed (false discovery rate < 5%). Several earlier findings were replicated like the positive associations of proton pump inhibitors (PPIs) with numerous oral species, and those of metformin with Escherichia species and with lactate consumption I and arginine degradation II. Several new associations were observed between, among others, use of antidepressants, beta-blockers, nonsteroidal anti-inflammatory drugs and calcium channel blockers, and specific species. Polypharmacy was positively associated with Enterococcus faecalis, Bacteroides uniformis, Rothia mucilaginosa, Escherichia coli and Limosilactobacillus vaginalis, and with 13 GMMs. We confirmed several previous findings and identified numerous new associations between use of medications/polypharmacy and the gut microbiota composition and functional potential. Further studies are needed to confirm the new findings.

Indexed as

Gastrointestinal MicrobiomePolypharmacyAdultAgedFemaleHumansMaleMiddle AgedSwedenGut metabolic modulesGut microbiotaMedicationsPolypharmacyPopulation cohortShotgun metagenomics

Identifiers

PMID39390025
PMCPMC11467196

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.